CoMEt: A Statistical Approach to Identify Combinations of Mutually Exclusive Alterations in Cancer
A major goal of large-scale cancer sequencing studies is to identify the genetic and epigenetic alterations that drive cancer development and to distinguish these events from random passenger mutations that have no consequence for cancer. Identifying driver mutations is a significant challenge due to the mutational heterogeneity of tumors: different combinations of somatic mutations drive different tumors, even those of the same cancer type.
KeywordsAcute Myeloid Leukemia Gastric Adenocarcinoma Markov Chain Monte Carlo Algorithm Driver Mutation Mutual Exclusivity
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